New chapter on s
Trade Review
"...stochastic modeling has drawn the attention of many researchers in biology and physiology. A textbook, with much elaboration, is highly valuable to understanding the underlying mathematical and computational methods in biological stochastic modeling. Prof Wilkinson has designed the content of this book to fill a gap in the educational text/reference books available for students/researchers learning about stochastic modeling in biological systems... This third edition book almost covers all of the material necessary for students studying stochastic kinetics modelling. The exercises in every chapter certainly illustrate the theory and concept of the book. Appendices A and B elaborate on all of the SBML code and other software associated with the book. The codes are also complemented by links to the author’s webpage and a GitHub repository. The author must be appreciated for adding so many references for further reading. The content of the book is designed for a one-semester graduate-level course in stochastic modeling in biology. Thus, this book is targeted at master and graduate students in interdisciplinary subjects such as applied mathematics, computational biology, bioinformatics, biophysics, Biochemistry, and biomedical engineering."
- Chitaranjan Mahapatra, Appeared in ISCB News, January 2020
Table of Contents
Introduction to biological modelling
Representation of biochemical networks
Probability models
Stochastic simulation
Markov processes
Chemical and biochemical kinetics
Case studies
Beyond the Gillespie algorithm
Spatially extended systems
Bayesian inference and MCMC
Inference for stochastic kinetic models
Conclusions
Appendices
